Google Pixel 8a
Geekbench AI Score
1732
Single Precision Score
1752
Half Precision Score
3136
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 09:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 8a |
| Model ID | Google Pixel 8a |
| Motherboard | akita |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1020
189.7 IPS |
|
|
Image Classification (HP)
|
100% |
1002
186.4 IPS |
|
|
Image Classification (Q)
|
100% |
2584
480.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1072
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1031
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2651
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3069
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2894
3.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
6746
8.00 IPS |
|
|
Object Detection (SP)
|
98% |
1279
101.8 IPS |
|
|
Object Detection (HP)
|
98% |
1270
101.1 IPS |
|
|
Object Detection (Q)
|
83% |
2067
166.9 IPS |
|
|
Face Detection (SP)
|
100% |
2250
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
2829
33.6 IPS |
|
|
Face Detection (Q)
|
95% |
5174
61.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2852
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2818
21.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4868
44.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6904
8.96 IPS |
|
|
Style Transfer (HP)
|
89% |
6895
8.95 IPS |
|
|
Style Transfer (Q)
|
98% |
14422
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1459
53.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1518
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3800
140.8 IPS |
|
|
Text Classification (SP)
|
100% |
698
931.6 IPS |
|
|
Text Classification (HP)
|
99% |
697
930.3 IPS |
|
|
Text Classification (Q)
|
88% |
1090
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (Q)
|
50% |
641
22.8 IPS |
